Tfdginixml: a novel explainable machine learning framework for early detection of cardiac abnormalities based on nonlinear time-frequency distribution gini index features
Cardiovascular diseases (CVDs) are the leading cause of global death, with approximately 80% of such CVD mortalities occurring in low and middle-income regions. Early detection of cardiac abnormalities is essential for timely intervention and minimizing mortalities. Automated CVD detection methods a...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Institute of Electrical and Electronics Engineers
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/121567/1/121567.pdf http://psasir.upm.edu.my/id/eprint/121567/ https://ieeexplore.ieee.org/document/10981715/ |
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